import sys
import os
import logging
import re
import json
from typing import Dict, List, Any, Optional, Tuple

# 添加项目根路径到 sys.path
sys.path.append(os.path.join(os.path.dirname(os.path.abspath(__file__)), '..', '..'))

# 导入 MySQLUtil
from shared.utils.MySQLUtil import MySQLUtil

# 设置日志
logger = logging.getLogger(__name__)

def get_各项就业教育_服务的满意度(
    project_id: int,
    questionnaire_ids: List[int],
    product_code: Optional[str] = None,
    project_code: Optional[str] = None,
    region_code: Optional[str] = None,
    education: Optional[str] = None
) -> Dict[str, Any]:
    """
    各项就业教育/服务的满意度 - 指标计算函数
    
    ## 指标说明
    该指标用于计算毕业生对各项就业教育/服务的满意度情况，通过统计7个子指标项的前三项选择占比来评估。
    每个子指标对应问卷中的一个问题，问题选项均为5级满意度量表（非常满意到非常不满意）。
    计算时需要对每个子指标分别计算前三项（非常满意、满意、基本满意）的占比。
    
    ## Args
        project_id (int): 项目ID，用于查询项目配置信息
        questionnaire_ids (List[int]): 问卷ID集合，用于确定数据范围
        product_code (Optional[str]): 产品编码，用于路由到特定计算逻辑
        project_code (Optional[str]): 项目编码，用于路由到特定计算逻辑
        region_code (Optional[str]): 区域编码，用于路由到特定计算逻辑
        education (Optional[str]): 学历筛选条件，可选值：本科毕业生、专科毕业生、硕士研究生、博士研究生
        
    ## 示例
    ### 输入
    ```json
    {
        "project_id": 5895,
        "questionnaire_ids": [11158, 11159]
    }
    ```
    
    ### 输出
    ```json
    {
        "success": true,
        "message": "ok", 
        "code": 0,
        "result": [
            {
                "name": "生涯规划/就业指导课",
                "value": 0.85,
                "group": "博士研究生"
            },
            {
                "name": "职业规划大赛指导",
                "value": 0.78,
                "group": "博士研究生"
            },
            {
                "name": "职业咨询与辅导",
                "value": 0.82,
                "group": "博士研究生"
            },
            {
                "name": "校园招聘会/宣讲会",
                "value": 0.79,
                "group": "博士研究生"
            },
            {
                "name": "就业帮扶与推荐",
                "value": 0.81,
                "group": "博士研究生"
            },
            {
                "name": "就业手续办理",
                "value": 0.83,
                "group": "博士研究生"
            },
            {
                "name": "招聘信息发布",
                "value": 0.87,
                "group": "博士研究生"
            },
            {
                "name": "汇总",
                "value": 0.82,
                "group": "总体"
            }
        ]
    }
    ```
    """
    logger.info(f"开始计算指标: 各项就业教育/服务的满意度, 项目ID: {project_id}")
    
    try:
        db = MySQLUtil()

        # 1. 查询项目配置信息
        project_sql = """
        SELECT client_code, item_year, dy_target_items, split_tb_paper 
        FROM client_item 
        WHERE id = %s
        """
        project_info = db.fetchone(project_sql, (project_id,))
        if not project_info:
            raise ValueError(f"未找到项目ID={project_id}的配置信息")

        client_code = project_info['client_code']
        item_year = project_info['item_year']
        split_tb_paper = project_info['split_tb_paper']
        
        logger.info(f"项目配置: client_code={client_code}, item_year={item_year}, split_tb_paper={split_tb_paper}")

        # 2. 计算 shard_tb_key
        shard_tb_key = re.sub(r'^[A-Za-z]*0*', '', client_code)
        logger.info(f"计算得到 shard_tb_key: {shard_tb_key}")

        # 3. 查询问卷信息
        questionnaire_sql = f"""
        SELECT id, dy_target 
        FROM wt_template_customer 
        WHERE id IN ({','.join(['%s'] * len(questionnaire_ids))})
        """
        questionnaires = db.fetchall(questionnaire_sql, tuple(questionnaire_ids))
        if not questionnaires:
            raise ValueError(f"未找到问卷ID集合={questionnaire_ids}的配置信息")
        
        logger.info(f"查询到问卷信息: {questionnaires}")

        # 4. 过滤GRADUATE_SHORT调研对象的问卷
        valid_questionnaire_ids = [q['id'] for q in questionnaires if q['dy_target'] == 'GRADUATE_SHORT']
        if not valid_questionnaire_ids:
            raise ValueError("未找到目标调研对象(GRADUATE_SHORT)的问卷ID")
            
        logger.info(f"找到有效问卷ID: {valid_questionnaire_ids}")

        # 5. 问题编码列表
        question_codes = [
            ('T00000424', '生涯规划/就业指导课'),
            ('T00024641', '职业规划大赛指导'),
            ('T00000425', '职业咨询与辅导'),
            ('T00000426', '校园招聘会/宣讲会'),
            ('T00000428', '就业帮扶与推荐'),
            ('T00024640', '就业手续办理'),
            ('T00024639', '招聘信息发布')
        ]

        # 6. 查询问题ID
        question_ids = {}
        for code, name in question_codes:
            question_sql = """
            SELECT id 
            FROM wt_template_question_customer 
            WHERE cd_template_id = %s AND wt_code = %s AND is_del = 0
            """
            result = db.fetchone(question_sql, (valid_questionnaire_ids[0], code))
            if result:
                question_ids[name] = result['id']
            else:
                logger.warning(f"未找到问题编码={code}的问题信息")
        
        if not question_ids:
            raise ValueError("未找到任何有效的问题ID")

        # 7. 构建动态表名
        answer_table = f"re_dy_paper_answer_{split_tb_paper}"
        student_table = f"dim_client_target_baseinfo_student_{item_year}"

        # 8. 计算各子指标满意度
        results = []
        total_sum = 0
        total_count = 0

        for name, wid in question_ids.items():
            # 构建SQL
            sql = f"""
            SELECT 
                (SUM(t1.c1)+SUM(t1.c2)+SUM(t1.c3))/(SUM(t1.c1)+SUM(t1.c2)+SUM(t1.c3)+SUM(t1.c4)+SUM(t1.c5)) as ratio
            FROM {answer_table} t1
            JOIN {student_table} s ON t1.target_no = s.target_no
            WHERE 
                t1.cd_template_id = %s 
                AND t1.wid = %s 
                AND t1.ans_true = 1
                AND s.shard_tb_key = %s
                AND s.item_year = %s
                {"AND s.education = %s" if education else ""}
            """
            
            params = [valid_questionnaire_ids[0], wid, shard_tb_key, item_year]
            if education:
                params.append(education)
            
            result = db.fetchone(sql, tuple(params))
            if not result or result['ratio'] is None:
                ratio = 0
            else:
                ratio = float(result['ratio'])
            
            group = education if education else "总体"
            results.append({
                "name": name,
                "value": round(ratio, 4),
                "group": group
            })
            
            if education:  # 只统计分组的
                total_sum += ratio
                total_count += 1

        # 9. 计算总体平均值
        if total_count > 0:
            results.append({
                "name": "汇总",
                "value": round(total_sum / total_count, 4),
                "group": "总体"
            })

        logger.info(f"指标 '各项就业教育/服务的满意度' 计算成功")
        return {
            "success": True,
            "message": "ok",
            "code": 0,
            "result": results
        }

    except Exception as e:
        logger.error(f"计算指标 '各项就业教育/服务的满意度' 时发生错误: {str(e)}", exc_info=True)
        return {
            "success": False,
            "message": f"数据获取失败: 各项就业教育/服务的满意度",
            "code": 500,
            "error": str(e)
        }